The recent developments in the field of energy systems and power networks are characterized by a strong focus on optimization, stability, and the integration of renewable energy sources. Researchers are increasingly leveraging advanced control strategies, optimization algorithms, and data-driven approaches to enhance the efficiency and reliability of power systems. A notable trend is the emphasis on grid-forming and grid-following inverters, with studies exploring their optimal allocation and the impact of line dynamics on stability. Additionally, there is a growing interest in the economic aspects of energy systems, including the design of district energy systems under grid constraints and the development of bidding strategies for hybrid power plants. These advancements are not only improving the operational efficiency of power networks but also facilitating the transition towards more sustainable energy systems.

Noteworthy Papers

• Optimizing Photovoltaic Panel Quantity for Water Distribution Networks: Introduces a procedure for determining the optimal amount of photovoltaics for water distribution networks, resulting in a significant reduction in operational costs.
• Unified Control Scheme for Optimal Allocation of GFM and GFL Inverters in Power Networks: Proposes a method for the optimal allocation of grid-forming and grid-following inverters, ensuring stability and maximal energy dissipation.
• Advanced Control Strategy to Compensate Power Sharing Error and DC Circulating Current in Parallel Single-Phase Inverters: Develops a control strategy to eliminate current sharing error and DC circulating current in islanded AC microgrid systems.
• Quantifying the benefit of load uncertainty reduction for the design of district energy systems under grid constraints using the Value of Information: Provides evidence supporting the sufficiency of using standard building load profiles for energy system design, challenging the economic viability of extensive building monitoring.
• Integrated Learning and Optimization for Congestion Management and Profit Maximization in Real-Time Electricity Market: Introduces novel methodologies for solving economic dispatch and DC optimal power flow problems, improving economic operation in real-time electricity markets.
• Betting vs. Trading: Learning a Linear Decision Policy for Selling Wind Power and Hydrogen: Develops a bidding strategy for a hybrid power plant, demonstrating the effectiveness of a risk-constrained, data-driven approach.